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What is Feature Vector

Encyclopedia of Information Science and Technology, Third Edition
Numerical representation of object features in n-dimensional vector and it can be used for pattern recognition and machine learning.
Published in Chapter:
Estimating Emotions Using Geometric Features from Facial Expressions
A. Vadivel (National Institute of Technology, India), P. Shanthi (National Institute of Technology, India), and S.G. Shaila (National Institute of Technology, India)
DOI: 10.4018/978-1-4666-5888-2.ch369
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Feature Extraction in Content-Based Image Retrieval
The abstract representation of an image feature which has been computed.
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Privacy Preservation of Image Data With Machine Learning
An explanatory n-dimensional number vector represents an example of an item, which aids pre-processing and data methods. Feature vectors are frequently weighted to build a predictive function to measure the prediction's quality or fitness. Various feature reduction approaches, such as main component analysis, multi-liner subspace decrease, iso maps and latent semantic analysis, can lower the dimension of a feature vector. Functional space is frequently referred to as vector space.
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Computational Methods for Prediction of Protein-Protein Interactions: PPI Prediction Methods
It is a vector with n-dimensions that stores numerical and measurable features representing some objects.
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Music Information Retrieval
A feature set, when used as input for classification or clustering methods, is refered to as feature vector. An individual scalar value in this feature vector is also refered to as an attribute or feature.
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